Anatomical recognition of dissection layers, nerves, vas deferens, and microvessels using artificial intelligence during transabdominal preperitoneal inguinal hernia repair.

Journal: Hernia : the journal of hernias and abdominal wall surgery
PMID: 39724499

Abstract

PURPOSE: In laparoscopic inguinal hernia surgery, proper recognition of loose connective tissue, nerves, vas deferens, and microvessels is important to prevent postoperative complications, such as recurrence, pain, sexual dysfunction, and bleeding. EUREKA (Anaut Inc., Tokyo, Japan) is a system that uses artificial intelligence (AI) for anatomical recognition. This system can intraoperatively confirm the aforementioned anatomical landmarks. In this study, we validated the accuracy of EUREKA in recognizing dissection layers, nerves, vas deferens, and microvessels during transabdominal preperitoneal inguinal hernia repair (TAPP).

Authors

  • Kazuhito Mita
    Department of Surgery, Tsudanuma Central General Hospital, 1- 9-17 Yatsu, Narashino, Japan. kazumitatantan@yahoo.co.jp.
  • Nao Kobayashi
    Anaut Inc., Tokyo, Japan.
  • Kunihiko Takahashi
    Department of Surgery, Tsudanuma Central General Hospital, 1- 9-17 Yatsu, Narashino, Japan.
  • Takashi Sakai
  • Mayu Shimaguchi
    Department of Surgery, Tsudanuma Central General Hospital, 1- 9-17 Yatsu, Narashino, Japan.
  • Michitaka Kouno
    Department of Surgery, Tsudanuma Central General Hospital, 1- 9-17 Yatsu, Narashino, Japan.
  • Naoyuki Toyota
    Department of Surgery, Tsudanuma Central General Hospital, 1- 9-17 Yatsu, Narashino, Japan.
  • Minoru Hatano
    Department of Surgery, Tsudanuma Central General Hospital, 1- 9-17 Yatsu, Narashino, Japan.
  • Tsuyoshi Toyota
    Department of Surgery, Tsudanuma Central General Hospital, 1- 9-17 Yatsu, Narashino, Japan.
  • Junichi Sasaki
    Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan.

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